Qualifications

- Bachelor's degree or equivalent practical experience.
- 10 years of experience with cloud native architecture in a customer‑facing or support role.
- Experience in pre‑sales or field engineering at an enterprise technology company, or similar customer‑facing role.
- Experience engaging with, and presenting to, technical stakeholders and executive leaders.
- Experience in pre‑sales management or people management on a data analytics related or technical team.
- Experience with data analytics technologies or concepts, cloud, and on‑premise technologies.

Preferred Qualifications

- Experience influencing cross‑functional teams (Product Management, Engineering, Sales), customers, and partners to impact business goals, customer experience, and customer expansion.
- Experience tailoring and delivering compelling messages to audiences, asking strategic questions, and leading conversations that drive business opportunity.
- Experience in Big Data, including analytics warehousing, data processing, data transformation, data governance, data migrations, Extract, Transform, Load (ETL), Extract, Load, Transform (ELT), SQL, NoSQL, performance or scalability optimizations, or batch versus streaming.
- Ability to be a thought leader in data analytics and adjacent practice areas, specializing in technical sales and strategizing around customer and industry solutions.

Responsibilities

- Lead a team of technical experts in a matrixed organization. Focus on talent strategy, assessing go‑to‑market readiness and gaps in CE preparedness, skills development in emerging AI/ML technologies,



and opportunity coverage to deliver successful cloud and AI transformation outcomes for customers and accelerate business goals.
- Execute the technical goal and strategy for your region’s data analytics and AI practice. Lead the broader region’s data‑for‑AI technical community to ensure sub‑regional technical contributions, achieving scale through artifact and innovation sharing across analytics, vector databases, and generative AI patterns.
- Influence cross‑functional teams, including Product Management and Engineering, ensuring customer needs regarding data pipelines, governance, and AI infrastructure are represented in product roadmaps and current technology is incubated and scaled.
- Lead technical engagements with strategic customers, working with cross‑functional peers to plan customer engagements that unlock business value.

Candidates must have the right to work in Australia. Google is unable to sponsor a visa for this position.

Preferred working location: Sydney NSW, Australia; Melbourne VIC, Australia.

Google is a global company and English proficiency is a requirement for all roles unless stated otherwise in the job posting.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy, or related condition (including breastfeeding), expecting or parents‑to‑be, criminal histories consistent with legal requirements, or any other basis protected by law.

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📌 Customer Engineering Manager, Data Analytics, Google Cloud (City of Sydney)
🏢 Google
📍 City of Sydney